DocumentCode :
3395090
Title :
A pairing algorithm for landing aircraft to closely spaced parallel runways
Author :
Farrahi, Amir H. ; Verma, Savita A.
Author_Institution :
Univ. of California Santa Cruz, Moffett Field, CA, USA
fYear :
2010
fDate :
3-7 Oct. 2010
Abstract :
To facilitate pairing of aircraft while meeting a schedule, the pair-scheduling problem for landing aircraft in Very Closely Spaced Parallel Approaches was studied. An earlier prototype was adopted and the scheduling algorithm was extended in several ways to improve the solution quality and expand the range of constraints it could handle. This paper presents the scheduling problem formulation, as well as enhancements made to an earlier prototype that made it suitable for application in a human-in-the-loop simulation carried out recently at NASA Ames Research Center. Experimental data from the simulations as well as an extensive set of stress tests are analyzed and discussed. Results suggest the algorithm succeeded in suggesting aircraft pairs acceptable to the air traffic controllers in over 97% of the cases. Evaluating the performance and scalability characteristics of the algorithm demonstrates its effectiveness in discovering feasible aircraft pairs that meet all the sequencing, separation, pair-group, and runway assignment constraints. Overall, the high solution quality and short runtime makes the proposed algorithm a suitable and attractive candidate for use in a real-time aircraft-pairing application.
Keywords :
aircraft landing guidance; airports; scheduling; air traffic controllers; closely spaced parallel runways; human-in-the-loop simulation; landing aircraft; pairing algorithm; scheduling algorithm; Air traffic control; Aircraft; Airports; Atmospheric modeling; Automation; Couplings; NASA;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2010 IEEE/AIAA 29th
Conference_Location :
Salt Lake City, UT
ISSN :
2155-7195
Print_ISBN :
978-1-4244-6616-0
Type :
conf
DOI :
10.1109/DASC.2010.5655342
Filename :
5655342
Link To Document :
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